Minh-Quang Tran

TL;DR: In this article, an adaptive neuro-fuzzy inference system (ANFIS) is proposed for blade pitch control of wind energy conversion systems (WECS) instead of the conventional controllers.

TL;DR: In this paper, the authors proposed a deep learning-based people detection system utilizing the YOLOv3 algorithm to count the number of persons in a specific area, and the status of the air conditioners are published via the internet to the dashboard of the IoT platform.

TL;DR: The results confirm that the proposed IoT architecture based on the machine learning technique, that is the extreme gradient boosting (XGBoost), can visualize all defects in the GIS with different alarms, besides showing the cyber-attacks on the networks effectively.

TL;DR: In this article, the authors proposed a new IoT architecture based on utilizing machine learning techniques to suppress cyber-attacks for providing reliable and secure online monitoring for the induction motor status, in which advanced machine learning technique are utilized here to detect cyberattacks and motor status with high accuracy.

TL;DR: A novel approach of the real-time chatter detection in the milling process is presented based on the scalogram of the continuous wavelet transform (CWT) and the deep convolutional neural network (CNN).